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Deng W, Wang D, Wan Y, Lai S, Ding Y, Wang X. Prediction models for major adverse cardiovascular events after percutaneous coronary intervention: a systematic review. Front Cardiovasc Med 2024; 10:1287434. [PMID: 38259313 PMCID: PMC10800829 DOI: 10.3389/fcvm.2023.1287434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Background The number of models developed for predicting major adverse cardiovascular events (MACE) in patients undergoing percutaneous coronary intervention (PCI) is increasing, but the performance of these models is unknown. The purpose of this systematic review is to evaluate, describe, and compare existing models and analyze the factors that can predict outcomes. Methods We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 during the execution of this review. Databases including Embase, PubMed, The Cochrane Library, Web of Science, CNKI, Wanfang Data, VIP, and SINOMED were comprehensively searched for identifying studies published from 1977 to 19 May 2023. Model development studies specifically designed for assessing the occurrence of MACE after PCI with or without external validation were included. Bias and transparency were evaluated by the Prediction Model Risk Of Bias Assessment Tool (PROBAST) and Transparent Reporting of a multivariate Individual Prognosis Or Diagnosis (TRIPOD) statement. The key findings were narratively summarized and presented in tables. Results A total of 5,234 articles were retrieved, and after thorough screening, 23 studies that met the predefined inclusion criteria were ultimately included. The models were mainly constructed using data from individuals diagnosed with ST-segment elevation myocardial infarction (STEMI). The discrimination of the models, as measured by the area under the curve (AUC) or C-index, varied between 0.638 and 0.96. The commonly used predictor variables include LVEF, age, Killip classification, diabetes, and various others. All models were determined to have a high risk of bias, and their adherence to the TRIPOD items was reported to be over 60%. Conclusion The existing models show some predictive ability, but all have a high risk of bias due to methodological shortcomings. This suggests that investigators should follow guidelines to develop high-quality models for better clinical service and dissemination. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=400835, Identifier CRD42023400835.
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Affiliation(s)
- Wenqi Deng
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Dayang Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Cardiovascular Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Yandi Wan
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Sijia Lai
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yukun Ding
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xian Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Cardiovascular Diseases, Beijing University of Chinese Medicine, Beijing, China
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Li Q, Lin X, Bo X, Li F, Chen S, Miao X, Zhao D, Liu J, Fan Q. Monocyte to high-density lipoprotein cholesterol ratio predicts poor outcomes in ischaemic heart failure patients combined with diabetes: a retrospective study. Eur J Med Res 2023; 28:493. [PMID: 37941037 PMCID: PMC10631131 DOI: 10.1186/s40001-023-01451-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 10/16/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND The prevalence of ischaemic heart failure (HF) continues to increase. Diabetes mellitus (DM) concomitant with ischaemic HF increases the risk of major adverse cardiovascular events (MACEs). As a promising predictor for cardiovascular diseases, the predictive value of the monocyte to high-density lipoprotein cholesterol ratio (MHR) for MACE in the ischaemic HF with DM cohort has never been investigated before. OBJECTIVE We aimed to investigate the MHR as a predictor for MACE in ischaemic HF patients with DM who underwent percutaneous coronary intervention (PCI). METHODS This observational study enrolled 1049 patients with ischaemic HF and DM undergoing PCI from June 2017 to June 2019. The baseline data were collected. MACEs, including all-cause mortality, nonfatal myocardial infarction, and any revascularization, were recorded within the 36-month follow-up. The characteristics and incidence of MACE were analysed in four groups stratified by the quartiles of MHR. The hazard ratio for MACE was analysed with Cox regression models. The incidence of MACE in the four groups was evaluated by Kaplan‒Meier survival analysis. Restricted cubic spline analysis was performed to determine the nonlinear correlation between the MHR and MACE. RESULTS After the 36-month follow-up, 407 patients (38.8%) experienced MACEs. The incidence of MACE was significantly higher among patients in the upper MHR quartile than among those in the lower MHR quartiles (23.4% vs. 36.0% vs. 41.4% and 54.6%; P < 0.001, respectively), which was consistent with the Kaplan‒Meier survival analyses (P < 0.0001). A multivariate Cox regression model showed that the MHR was an independent risk factor for MACE after variables were adjusted (adjusted HR: 2.11; 95% CI 1.47-3.03; P < 0.001). Its predictive effects on MACE showed no interaction with hypercholesterolemia (P > 0.05). CONCLUSION The MHR was a significant and independent predictor of MACEs in ischaemic HF patients with DM undergoing PCI.
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Affiliation(s)
- Qiuyu Li
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China
| | - Xiaolong Lin
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China
| | - Xiaowen Bo
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China
| | - Fanqi Li
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China
| | - Siyuan Chen
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China
| | - Xuguang Miao
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China
| | - Donghui Zhao
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China
| | - Jinghua Liu
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China
| | - Qian Fan
- Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, China.
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Guo X, Ma L. Inflammation in coronary artery disease-clinical implications of novel HDL-cholesterol-related inflammatory parameters as predictors. Coron Artery Dis 2023; 34:66-77. [PMID: 36317383 PMCID: PMC9742007 DOI: 10.1097/mca.0000000000001198] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 09/25/2022] [Indexed: 12/13/2022]
Abstract
Coronary artery disease (CAD) is the leading cause of death worldwide. Inflammation and atherosclerotic plaques are the primary pathological mechanisms of CAD. Upon stimulation by deposited lipids and damaged endothelium, innate and adaptive immune cells are activated and recruited to initiate plaque development. Therefore, inflammatory cells and mediators are used to identify inflammatory risk in CAD patients. HDL-cholesterol (HDL-C) is demonstrated to have anti-inflammatory roles in atherosclerosis by interfering with plasma membrane lipid rafts of immune cells. Based on this, novel inflammatory parameters such as monocyte to HDL-C ratio are explored to improve the risk estimation of CAD prognosis. Moreover, with the advance in treatment strategies targeting the inflammatory process in atherosclerosis, identifying CAD patients with increased inflammatory risk by novel inflammatory parameters is of great importance in guiding CAD management. Therefore, this review aims to summarize the current information regarding inflammatory activation and HDL-C in atherosclerosis with a particular focus on the clinical implication of the novel HDL-C-related inflammatory parameters in CAD.
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Affiliation(s)
- Xuantong Guo
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lihong Ma
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Liu HT, Jiang ZH, Yang ZB, Quan XQ. Monocyte to high-density lipoprotein ratio predict long-term clinical outcomes in patients with coronary heart disease: A meta-analysis of 9 studies. Medicine (Baltimore) 2022; 101:e30109. [PMID: 35984155 PMCID: PMC9387949 DOI: 10.1097/md.0000000000030109] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND A novel inflammation-related biomarker, the monocyte to high-density lipoprotein cholesterol ratio (MHR), had a great relation to the development and prognosis of coronary atherosclerotic heart disease. Current study was to investigate whether the MHR was a potential tool in predicting the mortality and major adverse cardiac events (MACEs) in patients suffering coronary heart disease (CHD) by meta-analysis. METHODS The Cochrane Library, PubMed, MEDLINE, Scopus, EMBASE, and Web of science were searched for relevant cohort studies published prior to February 10, 2022. The association between MHR and mortality/MACEs was analyzed in patients with CHD. Hazard ratios (HR) with 95% confidence interval (CI) were calculated to estimate the strength of association. RESULTS In the meta-analysis, a total of 9 studies of 11,345 patients with CHD were included. Compared with the low level of MHR group, the high MHR value was associated with higher long-term MACEs (HR = 1.72 95% CI 1.36-2.18, P < .001), long-term mortality (HR = 1.71, 95% CI 1.10-2.66, P = .017), and in-hospital mortality/MACEs (HR = 2.82, 95% CI = 1.07-7.41, P = .036). CONCLUSIONS This study suggested that increased MHR value might be associated with higher long-term mortality and long-term MACEs in CHD patients. MHR might serve as a potential prognostic indicator for risk stratification in patients with CHD.
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Affiliation(s)
- Hong-Tao Liu
- Department of Cardiology, Shenzhen Longhua District Central Hospital, The Affiliated Central Hospital of Shenzhen Longhua District, Guangdong Medical University, Shenzhen 518110, China
| | - Zhong-Hui Jiang
- Department of Stomatology, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Zhong-Bin Yang
- Department of Stomatology, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Xiao-Qing Quan
- Department of Geriatrics
- Department of General Pratice, Shenzhen Longhua District Central Hospital, The Affiliated Central Hospital of Shenzhen Longhua District, Guangdong Medical University, Shenzhen 518110, China
- *Correspondence: Xiao-Qing Quan, Department of Geriatrics, Shenzhen Longhua District Central Hospital, The Affiliated Central Hospital of Shenzhen Longhua District, Guangdong Medical University, Shenzhen, China (e-mail: )
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Gao Y, Cui H, Ren W, Han B. The efficacy of Rhodiola Rosea based on DTI image Segmentation Algorithm for patients with delayed Encephalopathy caused by CO poisoning. Pak J Med Sci 2021; 37:1558-1563. [PMID: 34712282 PMCID: PMC8520367 DOI: 10.12669/pjms.37.6-wit.4830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 06/06/2021] [Accepted: 07/04/2021] [Indexed: 11/15/2022] Open
Abstract
Objectives By using DTI image segmentation algorithm investigate the effect of large plants Rhodiola injection on myocardial injury in patients with acute severe CO poisoning (ACOP), and to explore the clinical and CT delayed encephalopathy after ACOP. Methods Seventy-two ACOP patients were randomly divided into control and observation group, 36 cases in each group from December 2015 - December 2017. The control group received hyperbaric oxygen, mannitol, dexamethasone, citicoline injection, gangliosides, dracone; observation group were large strain Rhodiola injection treatment group based on the once daily for two weeks of continuous treatment. The head CT, head MRI results were analyzed retrospectively. Results (1) hsCRP and ET-1 in the observation group were significantly lower than those in the control group, and VEGF was significantly higher than that in the control group (P<0.01). No, NOS, and iNOS were significantly lower than those of the control group (P<0.01); (2) CT images of 16 cases showed bilateral symmetrical fusion lesions with blurred edges, low density, and oval center around the ventricle; (3) MRI showed that the lesion was located in the cerebral cortex, white matter lateral ventricle and/or basal ganglia in 12 cases. Conclusion Rhodiola can reduce myocardial vascular endothelial cell injury, improve cardiac function, and protect the damaged myocardium. Meanwhile, after acute CO poisoning delayed encephalopathy early for CT and MRI examination facilitate analysis and prognosis of the disease.
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Affiliation(s)
- Yuming Gao
- Yuming Gao, Bachelor's Degrees. Department of Emergency, Jiaozhou Central Hospital of Qingdao, QingDao, 266300, Shandong, China
| | - Haitao Cui
- Haitao Cui, Bachelor's Degrees. Clinical Laboratory, Jiaozhou Central Hospital of Qingdao, QingDao, 266300, Shandong, China
| | - Wei Ren
- Wei Ren, Bachelor's Degrees. Intensive Care Unit, Jiaozhou Central Hospital of Qingdao, QingDao, 266300, Shandong, China
| | - Bing Han
- Bing Han, Bachelor's Degrees. Department of Emergency, Jiaozhou Central Hospital of Qingdao, QingDao, 266300, Shandong, China
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